Solutions Architect Leader - BytePlus - Japan & Korea

ByteDance; Hong Kong; On-site; HKD 1,000,000 - 2,000,000; Full time

Job summary

BytePlus, part of ByteDance, seeks an AI-native Solutions Architect to lead regional teams in Korea and Japan. You’ll bridge cutting-edge generative AI research with real-world enterprise deployments, designing agent workflows and production-ready integrations across ADK, LangChain and other frameworks.

You will mentor regional teams, drive scalable AI solutions for millions of users, and work closely with product and research to align roadmaps with client needs.

Qualifications

• Bachelor's degree in Engineering, CS or related field.
• 5+ years in AI-native industries with architect/forward deployed roles.
• Proven leadership of Solutions Architect teams.
• Deep understanding of AI solutions on Public Cloud and LLMs in multiple verticals.
• Experience with multi-agent systems, skills and AI infra knowledge.

Responsibilities

• Bridge generative AI research to real-world industrial apps and ensure scalable, grounded models.
• Design and prototype AI agent workflows and system integrations for clients.
• Deliver production-ready code to integrate AI models in agent frameworks with tools.
• Optimize latency, throughput, and cost for millions of users.
• Develop evaluation and guardrail frameworks for safe, accurate outputs.
• Collaborate with product and research to feed field signals into roadmaps.
• Lead and mentor regional Solutions Architects across Korea & Japan.

Education

Bachelor's degree in Engineering or Computer Science

Tools

LangChain

LlamaIndex

Pinecone

Milvus

Weaviate

Docker

Kubernetes

GPU inference

Job description

Join the Innovative BytePlus Team! As part of BytePlus, you’ll help both enterprises and AI-native developers build what’s next for their business. Leveraging ByteDance’s cutting-edge technologies in AI models, agent solutions and cloud infrastructure, we are devoted to developing innovative products and solutions to shape the future.

We help our clients to focus on what truly matters. You can help us to achieve our mission.

Responsibilities

1. Bridge the gap between our cutting-edge Generative AI research on models and real-world industrial applications. You aren’t just shipping code; you are solving the last mile problem of AI—ensuring models are performant, grounded, and integrated into complex agent solutions to deliver results directly, in verticals like e-commerce, ads, social & entertainment, enterprises, etc.
2. AI-native agent solution design & prototyping: Rapidly design and iterate AI agents based on clients’ requirements, prototype workflows and system integrations, LoRA fine-tuned models tailored to specific industry needs (e.g. automated credit risk summaries for Fintech, or design style specific image/video content generation).
3. Production-ready implementation and delivery: Write production-quality code to integrate AI model APIs in various agent frameworks (ADK, LangChain, etc) with necessary tools (RAG, vectorDB, memory base, cache management, skills, etc).
4. Performance Optimization: Tackle challenges around latency, throughput, and cost. You’ll optimize prompt chains and implement caching strategies to ensure AI features scale for millions of users.
5. Evaluation & Guardrails: Develop rigorous evaluation frameworks (LLM-as-a-judge, human-in-the-loop) to ensure outputs are safe, accurate, and hallucination-free—critical for compliance-heavy industries like Finance. Also evaluate various models on the same tasks to conclude on the pros and cons for GTM.
6. Cross-functional Collaboration: Work with product and Algorithm research teams to feed "field signals" back into the core product roadmap.
7. Leading Regional Teams: Lead and mentor a team of Solutions Architects in Korea & Japan, ensuring a high-performing team that contributes to BytePlus’ growth in the regions.

Technical Skills Required

• AI/ML: Deep understanding of Transformer architectures, RAG, prompt engineering, and vector databases (e.g. Pinecone, Milvus, Weaviate).
• Engineering: Proficiency in Python (FastAPI, PyTorch/Jax) and experience with orchestration frameworks like LangChain or LlamaIndex.
• Data Systems: Comfort with SQL/NoSQL and data processing at scale (Spark, Flink).
• Cloud/DevOps: Experience with Docker, Kubernetes, and deploying models on cloud providers.

Minimum Qualifications

• Minimally a Bachelor’s degree in Engineering, Computer Science or any related field.
• Minimally 5 years of related work experience in AI-native industry, preferably in the role of solution architect, product solution or forward deployed engineer (FDE).
• Proven experience in leading Solutions Architect teams.
• Product-wise, preferably have deep understanding in AI solutions on Public Cloud, including but not limited to: LLM applications in industry verticals like e-commerce, social & entertainment, FinTech, etc.
• Re-Act, Plan and Execute, Multi-Agent, Skills, etc.
• AI Infra practical knowledge such as GPU selections and model inference acceleration frameworks (vLLM, sglang, etc).

Preferred Qualifications

• Industry-wise, preferably, have worked with large DNB & internet app clients in verticals like e-commerce, social & entertainment apps, gaming, etc, with at least over 1M monthly active users.
• Comfortable with fast-paced and ambiguous "startup" environment.
• Can-Do attitude, self-starter, ability to work independently and highly motivated with contagious enthusiasm.
• Team player and able to foster positive team morale, to set goals and drive for successful fulfilment.
• Gives attention to Details as much as to the "Bigger Picture"; can synthesize.